Non-destructive measurement of vitamin C, total polyphenol and sugar content in apples using near-infrared spectroscopy

Type de document
journalArticle
Langue source
-- Langue source --
Titre
Non-destructive measurement of vitamin C, total polyphenol and sugar content in apples using near-infrared spectroscopy
Titre français
Titre anglais
Auteur(s)
  • PISSARD Audrey
  • PIERNA Juan A. Fernández
  • BAETEN Vincent
  • SINNAEVE Georges
  • LOGNAY Georges
  • MOUTEAU Anne
  • DUPONT Pascal
  • RONDIA Alain
  • LATEUR Marc
Editeur(s)
Autre(s)
Id
JBMK3XWI
Version
3368
Date ajout
13 avril 2021 11:50
Date modification
20 avril 2021 09:34
Résumé
BACKGROUND: The vitamin C and polyphenol content of apples constitute quality and nutritional parameters of great interest for consumers, especially in terms of health. They are commonly measured using laborious reference methods. The purpose of this study was to evaluate the potential of near-infrared (NIR) spectroscopy as a rapid and non-destructive method to determine the sugar, vitamin C and total polyphenol content in apples. RESULTS: The quality parameters of more than 150 apple genotypes were analyzed using NIR and reference methods. The results obtained using the least squares support vector machine regression method showed good to very good prediction performance. Low standard error of prediction values, in addition to relatively high ratio to prediction (RPD) values, demonstrated the precision of the models, especially for polyphenol and sugar content. High RPD values (5.1 and 4.3 for polyphenol and sugar, respectively) indicated that an accurate classification of apples based on their content could be achieved. CONCLUSION: NIR spectroscopy coupled with the multivariate calibration technique could be used to accurately measure the quality parameters of apples. In addition, in the case of breeding programs, NIR spectroscopy can be considered an interesting tool for sorting varieties according to a range of concentrations. Copyright © 2012 Society of Chemical Industry
Note
None
CRAW tags
  • AB - Transversal
  • CRA-W
  • FREDO alimentation humaine
  • FREDO qualité des produits
  • FREDO technologie et innovation
  • FREDO étude des variétés
  • GEO Belgique
  • GEO Wallonie
  • NIR
  • vitamin c
  • apple
  • genotype
  • polyphenols
  • pomme
WEB tags
  • LS-SVM regression
  • malus × domestica
  • NIRS
  • fruit quality
  • nutritional parameters
Titre de la publication
Journal of the Science of Food and Agriculture
Volume
93
Pages
238-244
Date caractères
2013
Date publication
1 janvier 2013
Doi
https://doi.org/10.1002/jsfa.5779 Le DOI est une URL unique de référencement d'une publication. Il est donc plus fiable et permanent qu'une URL classique
Issn
1097-0010 L’ISSN est un code de 8 chiffres servant à identifier les journaux, revues, magazines, périodiques de toute nature et sur tous supports, papier comme électronique.